Abstract:ABSTRAK Penelitian ini bertujuan untuk menganalisis peran Usaha Mikro Kecil Menengah (UMKM) Coffee Sendu dalam meningkatkan kesejahteraan karyawan di Kota Palembang. Coffee Sendu merupakan UMKM di bidang kuliner yang berdiri…
erdiri sejak tahun 2020 dan telah menunjukkan pertumbuhan usaha yang signifikan. Dalam konteks ini, kesejahteraan karyawan dipandang sebagai indikator penting keberhasilan sebuah UMKM, terutama dalam hal pendapatan, lingkungan kerja, dan peluang pengembangan diri. Metode penelitian yang digunakan adalah deskriptif kualitatif dengan pendekatan studi kasus. Data dikumpulkan melalui observasi langsung dan wawancara semi-terstruktur terhadap pemilik dan para karyawan Coffee Sendu. Fokus utama penelitian adalah untuk mengevaluasi sejauh mana peran UMKM ini dalam menciptakan lapangan pekerjaan, meningkatkan pendapatan karyawan, dan memberikan kontribusi terhadap stabilitas ekonomi individu. Hasil penelitian menunjukkan bahwa Coffee Sendu mampu membuka peluang kerja bagi masyarakat sekitar, terutama bagi mereka yang sebelumnya tidak memiliki pekerjaan tetap. Karyawan memperoleh penghasilan harian yang dapat memenuhi kebutuhan dasar, dan adanya hubungan kekeluargaan antara pemilik dan karyawan turut menciptakan suasana kerja yang nyaman. Meskipun demikian, masih terdapat beberapa kendala seperti keterbatasan dalam akses pemasaran digital dan hambatan operasional akibat cuaca. Kesimpulan dari penelitian ini adalah bahwa UMKM Coffee Sendu berperan positif dalam meningkatkan kesejahteraan karyawan, dan dapat menjadi contoh pemberdayaan ekonomi lokal yang efektif. Penelitian ini diharapkan menjadi referensi bagi pelaku UMKM dan pemangku kepentingan dalam merancang strategi pemberdayaan SDM secara berkelanjutan.
ABSTRACT
This study aims to analyze the role of the Coffee Sendu Micro, Small, and Medium Enterprise (MSME) in improving employee welfare in Palembang City. Coffee Sendu is a culinary MSME established in 2020 and has demonstrated significant business growth. In this context, employee welfare is seen as a key indicator of an MSME's success, particularly in terms of revenue, work environment, and opportunities for personal development. The research method used was a descriptive qualitative case study approach. Data were collected through direct observation and semi-structured interviews with the owners and employees of Coffee Sendu. The primary focus of the study was to evaluate the extent to which this MSME plays a role in creating jobs, increasing employee income, and contributing to individual economic stability. The results indicate that Coffee Sendu has been able to create employment opportunities for the surrounding community, especially for those previously unemployed. Employees earn a daily income that covers basic needs, and the familial relationship between the owner and employees contributes to a comfortable work environment. However, several challenges remain, such as limited access to digital marketing and operational constraints due to weather. The conclusion of this study is that the Coffee Sendu MSME plays a positive role in improving employee welfare and can serve as an effective example of local economic empowerment. This research is expected to serve as a reference for MSMEs and stakeholders in designing sustainable human resource empowerment strategies.
Abstract:This study examines the relationship between unemployment and relationship breakdown among youth in Ghana. Unemployment among youth has become a pressing issue globally, particularly in developing countries like Ghana. The…
he objective is to investigate how the experience of unemployment influences relationship stability among young adults. The study employs qualitative research methods, including interviews and focus groups to gather data from unemployed youth in various regions of Ghana. Factors such as financial stress, decreased self-esteem, and the strain on interpersonal relationships due to unemployment were some of the perceptions by the unemployed youth in Ghana. The findings aim to contribute to a better understanding of the social impacts of unemployment and provide insights into potential interventions to support youth navigating these challenges in Ghanaian society.
Abstract:Indonesia is known for its rich agriculture, and rice is the staple food of the Indonesian people. The production of rice comes from rice fields, which are often managed by their owners or tenant farmers. However, not all…
l rice field owners can efficiently manage their resources, which is why they can involve rice cultivators to help them out. The relationship between the owner of the rice fields and the tenant farmers is divided into two types of cooperation: maro and mertelu. Additionally, this type of cooperation can also be carried out in dry land areas, such as coconut plantations, coffee plantations, and more. This study focuses on the actors involved in maro and mertelu agreements in Banyumas Regency, Cilacap Regency, Kebumen Regency, Banjarnegara Regency, and Purbalingga Regency. The population size of this study is unknown, but based on calculations, a minimum sample size of 97 respondents is required. The criterion for selecting respondents is that they have entered into a maro or mertelu agreement and reside in one of the aforementioned regencies. The findings of the study indicate that individuals who have entered into maro or mertelu agreements do so for a variety of reasons. These reasons include supplementing their income to meet basic and other needs, ensuring they have a job and are not unemployed, and following the orders of the landowner. Some individuals also participate in these agreements because they are unable to purchase their own rice fields and want to work in the industry, while others do so to help those in need.
Abstract:Abstract: Unemployment is a global economic issue that directly impacts human life in both developed and developing countries, especially in Indonesia, which, if ignored, will severely impact society's social dynamics. To…
o overcome this problem, forecasts are made so that later, the government can take policies to control and suppress the unemployment growth rate. This research aims to predict unemployment in Indonesia in 2023 using the Weighted Moving Average method, widely used to determine the trend of a time series, which is part of one of the Time Series methods that gives different weights. The dataset used was obtained from the Central Statistics Agency (BPS) relating to unemployment data from 2000 to 2022 (23 years). To analyze the level of accuracy of the results of this unemployment forecast using the MAD, MSE, and MAPE methods. This research concludes that the Weighted Moving Average method can be applied in predicting unemployment in Indonesia in 2023. The results of this research are a prediction of the number of unemployed in Indonesia, as many as 8,874,942 people at a weight value of 3 (three) where the accuracy of the MAD value is 745786.1833, the MSE value is 948402050986.3 and MAPE is 8.28%.
Keywords: forecasting; unemployment; weigth moving average; indonesia
Abstrak: Pengangguran menjadi isu ekonomi global yang berdampak secara langsung terhadap tingkat kehidupan manusia di negara-negara yang sudah maju maupun yang sedang berkembang khususnya di negara Indonesia, yang jika diabaikan akan berdampak serius terhadap dinamika sosial masyarakat. Untuk mengatasi permasalahan tersebut dibuatlah peramalan agar nantinya pemerinta dapat mengambil kebijakan dalam mengendalikan dan menekan angka pertumbuhan pengangguran tersebut. Penelitian ini bertujuan untuk memprediksi pengangguran di Indonesia pada tahun 2023 menggunakan metode Weighted Moving Average dimana metode ini banyak digunakan untuk menentukan trend dari suatu deret waktu yang merupakan bagian dari salah satu metode Time Series yang memberikan bobot yang berbeda-beda. Adapun dataset yang digunakan diperoleh dari Badan Pusat Satatistik (BPS) berkaitan dengan data pengangguran dari tahun 2000 sampai dengan tahun 2022 (selama 23 tahun). Untuk menganalisa tingkat akurasi dari hasil peramalan pengangguran ini memakai metode MAD, MSE, dan MAPE. Kesimpulan dari penelitian ini yaitu dapat diterapkannya metode Weighted Moving Average dalam memprediksi pengangguran di Indonesia pada tahun 2023. hasil dari penelitian ini berupa prediksi jumlah pengangguran di Indonesia sebanyak 8.874.942 orang pada nilai bobot 3 (tiga) dimana akurasi nilai MAD sebesar 745786,1833, nilai MSE sebesar 948402050986,3 dan MAPE sebesar 8,28 %.
Kata kunci: peramalan; pengangguran; weigth moving average; indonesia